At a Glance
- Tasks: Join a dynamic team to build and maintain data flows for impactful business analysis.
- Company: Change Digital connects talent with top financial services organisations in the UK.
- Benefits: Enjoy hybrid working, competitive salary up to £40K, and opportunities for growth.
- Other info: This role is urgent; apply now to kickstart your career in data engineering!
- Why this job: Be part of a fast-paced environment where your contributions directly influence business success.
- Qualifications: Strong analytical skills, communication abilities, and familiarity with SQL/SAS preferred but not essential.
The predicted salary is between 32000 - 48000 £ per year.
Data Engineer - Edinburgh / Hybrid, Excellent Salary + Benefits
Financial Services / Insurance Sector, Hybrid Working (2 days a week in the office).
Change Digital are working closely with a leading Financial Services organisation in the UK who are looking to appoint a Data Engineer to join their team in Edinburgh.
This is an excellent opportunity for a Data Engineer who enjoys working with complex datasets, stakeholder engagement, and building scalable data solutions that support business-critical decision making across the organisation.
The majority of the current data flow scripts are written in SAS, although broader SQL/data engineering experience is highly valued.
You will play a key role in building and maintaining data flows, acquisition processes, and high-performing data marts, helping to deliver a "single version of the truth" across the business.
Key Responsibilities
- Building and maintaining scalable data pipelines and acquisition processes.
- Developing and supporting SQL-based applications and reporting solutions.
- Producing accurate and meaningful reports for stakeholders.
- Supporting data governance, quality, security, and performance initiatives.
- Troubleshooting and resolving data-related issues promptly.
- Delivering Data & BI requests within agreed SLAs.
- Working closely with technical and non-technical stakeholders across the organisation.
- Supporting the Data Engineering Lead(s) with project delivery and continuous improvement initiatives.
Skills & Experience Required
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Strong attention to detail and organisational skills.
- Ability to work effectively within tight deadlines.
- Experience building strong working relationships.
- Positive and proactive "can-do" attitude.
- Experience working within fast-paced environments.
Nice to Have
- Experience with SQL and/or SAS.
- Exposure to SAS VIYA, Jira, Fabric, or GitHub.
- Insurance or broader Financial Services experience.
- Understanding of data warehouse environments and data governance principles.
- STEM degree preferred but not essential.
- Previous managerial or leadership exposure beneficial.
This is a fantastic opportunity to join a well-established organisation investing heavily in data, analytics, and technology modernisation initiatives.
Data Engineer employer: Change Digital – Digital & Tech Recruitment
Change Digital is an exceptional employer, offering a dynamic work environment in the heart of Edinburgh, where innovation meets collaboration. With a strong focus on employee growth, you will have access to ongoing training and development opportunities, alongside a competitive salary and benefits package that supports a healthy work-life balance through hybrid working arrangements. Join a team that values your contributions and fosters a culture of open communication and teamwork, making it an ideal place for those looking to make a meaningful impact in the financial services sector.
Contact Details:
Change Digital – Digital & Tech Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Make sure to brush up on your SAS skills, as the majority of data flow scripts are in this language. Familiarity with SQL will also be beneficial, so consider taking a quick online course or reviewing key concepts.
✨Tip Number 2
Network with professionals in the financial services sector, especially those who work with data engineering. Engaging with them on platforms like LinkedIn can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your problem-solving skills during the interview. Think of specific examples where you've successfully diagnosed and resolved issues in data management or application development.
✨Tip Number 4
Since communication is key in this role, practice explaining technical concepts in simple terms. This will help you demonstrate your ability to liaise effectively with non-technical colleagues during the interview.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience and skills that align with the Data Engineer role. Focus on your analytical skills, communication abilities, and any experience with SQL or SAS.
Craft a Compelling Cover Letter:Write a cover letter that showcases your enthusiasm for the position and the company. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to work under tight deadlines.
Highlight Technical Skills:Clearly outline your technical skills in your application. If you have experience with Microsoft Office, particularly Excel, or any database management systems, make sure to mention these prominently.
Showcase Soft Skills:In addition to technical expertise, emphasise your strong communication skills and ability to build relationships. Provide examples of how you've successfully collaborated with non-technical colleagues in the past.
How to prepare for a job interview at Change Digital – Digital & Tech Recruitment
✨Know Your Data Tools
Familiarise yourself with SAS and SQL, as these are crucial for the role. Be prepared to discuss your experience with data flow scripts and how you've used these tools in past projects.
✨Showcase Your Analytical Skills
Prepare examples that demonstrate your ability to analyse and interpret data. Highlight any specific instances where your recommendations led to improvements or solutions in previous roles.
✨Communicate Effectively
Since strong communication skills are essential, practice explaining complex technical concepts in simple terms. This will help you connect with non-technical stakeholders during the interview.
✨Demonstrate a 'Can Do' Attitude
Exude enthusiasm and a proactive mindset throughout the interview. Share examples of how you've thrived in dynamic environments and tackled challenges head-on.
